Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.5 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Sevilla
1
62 kgHaedo
2
64 kgMolano
3
72 kgRomero
9
55 kgReyes
12
55 kgSerpa
21
64 kgDuarte
22
55 kgChalapud
27
63 kgVargas
28
69 kgCaicedo
33
62 kgPedraza
39
58 kgOspina
40
62 kgArdila
43
58 kgPérez
44
68 kgLaverde
45
63 kgRamirez
53
69 kgDíaz
54
68 kgOrjuela
58
60 kgParedes
59
63 kg
1
62 kgHaedo
2
64 kgMolano
3
72 kgRomero
9
55 kgReyes
12
55 kgSerpa
21
64 kgDuarte
22
55 kgChalapud
27
63 kgVargas
28
69 kgCaicedo
33
62 kgPedraza
39
58 kgOspina
40
62 kgArdila
43
58 kgPérez
44
68 kgLaverde
45
63 kgRamirez
53
69 kgDíaz
54
68 kgOrjuela
58
60 kgParedes
59
63 kg
Weight (KG) →
Result →
72
55
1
59
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 2 | HAEDO Lucas Sebastián | 64 |
| 3 | MOLANO Juan Sebastián | 72 |
| 9 | ROMERO Jeffry | 55 |
| 12 | REYES Aldemar | 55 |
| 21 | SERPA José Rodolfo | 64 |
| 22 | DUARTE Fabio | 55 |
| 27 | CHALAPUD Robinson | 63 |
| 28 | VARGAS Walter | 69 |
| 33 | CAICEDO Jonathan Klever | 62 |
| 39 | PEDRAZA Wálter Fernando | 58 |
| 40 | OSPINA Dalivier | 62 |
| 43 | ARDILA Mauricio Alberto | 58 |
| 44 | PÉREZ Marlon Alirio | 68 |
| 45 | LAVERDE Luis Felipe | 63 |
| 53 | RAMIREZ Brayan Steven | 69 |
| 54 | DÍAZ Edward Fabián | 68 |
| 58 | ORJUELA Fernando | 60 |
| 59 | PAREDES Jonathan | 63 |